Zuoxin Li

660 total citations
8 papers, 196 citations indexed

About

Zuoxin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zuoxin Li has authored 8 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Zuoxin Li's work include Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Zuoxin Li is often cited by papers focused on Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Zuoxin Li collaborates with scholars based in China. Zuoxin Li's co-authors include Fuqiang Zhou, Lin Wang, Lin Wang, Xiaojie Li, Juan Li, Lu Yang, Xiaosong Li, Xurui Li and Guangshuai Liu and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Zuoxin Li

7 papers receiving 189 citations

Peers

Zuoxin Li
Zuoxin Li
Citations per year, relative to Zuoxin Li Zuoxin Li (= 1×) peers Md Mahbubur Rahman

Countries citing papers authored by Zuoxin Li

Since Specialization
Citations

This map shows the geographic impact of Zuoxin Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zuoxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuoxin Li more than expected).

Fields of papers citing papers by Zuoxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zuoxin Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zuoxin Li. The network helps show where Zuoxin Li may publish in the future.

Co-authorship network of co-authors of Zuoxin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zuoxin Li. A scholar is included among the top collaborators of Zuoxin Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zuoxin Li. Zuoxin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
2.
Liu, Guangshuai, et al.. (2022). Robust and accurate normal estimation in 3D point clouds via entropy-based local plane voting. Measurement Science and Technology. 33(9). 95202–95202. 2 indexed citations
3.
Li, Zuoxin, Fuqiang Zhou, Lu Yang, Xiaojie Li, & Juan Li. (2019). Accelerate neural style transfer with super-resolution. Multimedia Tools and Applications. 79(7-8). 4347–4364. 7 indexed citations
4.
Zhou, Fuqiang, et al.. (2019). Unsupervised Learning Approach for Abnormal Event Detection in Surveillance Video by Hybrid Autoencoder. Neural Processing Letters. 52(2). 961–975. 14 indexed citations
5.
Zhou, Fuqiang, et al.. (2019). Multi-Resolution CNN and Knowledge Transfer for Candidate Classification in Lung Nodule Detection. IEEE Access. 7. 32510–32521. 80 indexed citations
6.
Zhou, Fuqiang, Xiaojie Li, & Zuoxin Li. (2018). High-frequency details enhancing DenseNet for super-resolution. Neurocomputing. 290. 34–42. 26 indexed citations
7.
Zhou, Fuqiang, et al.. (2018). Freight car target detection in a complex background based on convolutional neural networks. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 233(3). 298–311. 6 indexed citations
8.
Wang, Lin, et al.. (2018). Abnormal Event Detection in Videos Using Hybrid Spatio-Temporal Autoencoder. 2276–2280. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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